I have an array of datetime64 type:
dates = np.datetime64([\'2010-10-17\', \'2011-05-13\', \"2012-01-15\"])
Is there a better way than loop
As datetime is not stable in numpy I would use pandas for this:
In [52]: import pandas as pd
In [53]: dates = pd.DatetimeIndex(['2010-10-17', '2011-05-13', "2012-01-15"])
In [54]: dates.year
Out[54]: array([2010, 2011, 2012], dtype=int32)
Pandas uses numpy datetime internally, but seems to avoid the shortages, that numpy has up to now.